J. M. Martin

653 total citations · 1 hit paper
11 papers, 533 citations indexed

About

J. M. Martin is a scholar working on Atmospheric Science, Earth-Surface Processes and Geophysics. According to data from OpenAlex, J. M. Martin has authored 11 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 5 papers in Earth-Surface Processes and 4 papers in Geophysics. Recurrent topics in J. M. Martin's work include Geological formations and processes (5 papers), Geology and Paleoclimatology Research (5 papers) and Geophysical and Geoelectrical Methods (3 papers). J. M. Martin is often cited by papers focused on Geological formations and processes (5 papers), Geology and Paleoclimatology Research (5 papers) and Geophysical and Geoelectrical Methods (3 papers). J. M. Martin collaborates with scholars based in United States and Germany. J. M. Martin's co-authors include Kristy T. Milliken, Michael D. Blum, Chris Paola, Mike Blum, Alessandro Cantelli, M. J. O'Neal, Mark E. Everett, W. Smith, Peter S.K. Knappett and Michael Diamond and has published in prestigious journals such as Analytical Chemistry, Earth-Science Reviews and Geological Society of America Bulletin.

In The Last Decade

J. M. Martin

11 papers receiving 514 citations

Hit Papers

Paleovalley systems: Insights from Quaternary analogs and... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. M. Martin United States 6 427 350 178 88 78 11 533
Anxo Mena Spain 13 390 0.9× 345 1.0× 46 0.3× 197 2.2× 45 0.6× 32 508
Cristina Roque Portugal 13 379 0.9× 381 1.1× 46 0.3× 431 4.9× 24 0.3× 51 725
Rebeca Martín‐García Spain 13 235 0.6× 319 0.9× 30 0.2× 148 1.7× 35 0.4× 20 457
Gongming Yin China 13 168 0.4× 442 1.3× 41 0.2× 434 4.9× 24 0.3× 28 755
Nagayoshi Katsuta Japan 13 98 0.2× 207 0.6× 47 0.3× 138 1.6× 82 1.1× 44 516
Uri Ryb Israel 12 115 0.3× 324 0.9× 63 0.4× 173 2.0× 89 1.1× 21 507
Claudio Neri Italy 11 194 0.5× 218 0.6× 33 0.2× 200 2.3× 63 0.8× 12 584
Bosiljka Glumac United States 11 134 0.3× 233 0.7× 38 0.2× 139 1.6× 67 0.9× 44 468
Stephanie Neuhuber Austria 13 82 0.2× 198 0.6× 46 0.3× 106 1.2× 51 0.7× 26 457
Thomas Götte Germany 10 98 0.2× 243 0.7× 32 0.2× 162 1.8× 48 0.6× 13 499

Countries citing papers authored by J. M. Martin

Since Specialization
Citations

This map shows the geographic impact of J. M. Martin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. M. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Martin more than expected).

Fields of papers citing papers by J. M. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Martin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. M. Martin. The network helps show where J. M. Martin may publish in the future.

Co-authorship network of co-authors of J. M. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Martin. A scholar is included among the top collaborators of J. M. Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. M. Martin. J. M. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Martin, J. M., Mark E. Everett, Peter S.K. Knappett, & R. C. Ewing. (2022). Preferential flow between rivers and aquifers in alluvial floodplains: A key to modelling and sustainably managing shallow groundwater resources. Near Surface Geophysics. 21(2). 127–137. 2 indexed citations
3.
Martin, J. M., Mark E. Everett, & Peter S.K. Knappett. (2020). Coupling hydrogeophysics with hydrodynamic modelling to infer subsurface hydraulic architecture of an alluvial floodplain. Near Surface Geophysics. 19(3). 335–352. 2 indexed citations
4.
Martin, J. M., Mark E. Everett, & Peter S.K. Knappett. (2019). ERT INVESTIGATION OF AN ANTECEDENT FLOODPLAIN CHANNEL-BELT. 1. 97–100. 1 indexed citations
5.
Pickering, Jennifer, Michael Diamond, S. L. Goodbred, et al.. (2018). Impact of glacial-lake paleofloods on valley development since glacial termination II: A conundrum of hydrology and scale for the lowstand Brahmaputra-Jamuna paleovalley system. Geological Society of America Bulletin. 131(1-2). 58–70. 18 indexed citations
6.
Blum, Michael D., et al.. (2012). Paleovalley systems: Insights from Quaternary analogs and experiments. Earth-Science Reviews. 116. 128–169. 365 indexed citations breakdown →
7.
Paola, Chris & J. M. Martin. (2012). Mass-Balance Effects In Depositional Systems. Journal of Sedimentary Research. 82(6). 435–450. 52 indexed citations
8.
Martin, J. M., et al.. (2010). Quantitative Modeling of the Evolution and Geometry of Incised Valleys. Journal of Sedimentary Research. 81(1). 64–79. 51 indexed citations
9.
Martin, J. M., et al.. (1974). Identification of absorption lines in gases used to modulate the CO<inf>2</inf>laser. IEEE Journal of Quantum Electronics. 10(2). 191–195. 10 indexed citations
10.
Martin, J. M., et al.. (1958). Infrared absorption of solid state n-paraffins—relationship to crystalline type. Spectrochimica Acta. 12(1). 12–16. 23 indexed citations
11.
Martin, J. M., et al.. (1954). Quantitative Analysis of Aromatic Hydrocarbons in 2- to 25-Micron Infrared Region. Analytical Chemistry. 26(12). 1886–1889. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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